Gerda Gaidukova

34 total papers · 1.0k total citations
26 papers, 801 citations indexed

About

Gerda Gaidukova is a scholar working on Biomaterials, Polymers and Plastics and Biomedical Engineering. According to data from OpenAlex, Gerda Gaidukova has authored 26 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomaterials, 13 papers in Polymers and Plastics and 6 papers in Biomedical Engineering. Recurrent topics in Gerda Gaidukova's work include Advanced Cellulose Research Studies (11 papers), biodegradable polymer synthesis and properties (11 papers) and Natural Fiber Reinforced Composites (6 papers). Gerda Gaidukova is often cited by papers focused on Advanced Cellulose Research Studies (11 papers), biodegradable polymer synthesis and properties (11 papers) and Natural Fiber Reinforced Composites (6 papers). Gerda Gaidukova collaborates with scholars based in Latvia, United Kingdom and India. Gerda Gaidukova's co-authors include Sergejs Gaidukovs, Oskars Platnieks, Vijay Kumar Thakur, Anda Barkāne, Līga Grase, Velta Fridrihsone, Olesja Starkova, Inese Fiļipova, Sergejs Beļuns and А. П. Середа and has published in prestigious journals such as Journal of Cleaner Production, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Gerda Gaidukova

25 papers receiving 785 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gerda Gaidukova 460 366 209 97 77 26 801
Rennan F. S. Barbosa 438 1.0× 194 0.5× 167 0.8× 67 0.7× 101 1.3× 40 799
Rapeeporn Srisuk 461 1.0× 434 1.2× 125 0.6× 99 1.0× 60 0.8× 24 807
Andrea Terenzi 474 1.0× 462 1.3× 133 0.6× 79 0.8× 127 1.6× 30 881
Mohd. Maniruzzaman 511 1.1× 433 1.2× 152 0.7× 64 0.7× 66 0.9× 28 897
S. P. Singh 635 1.4× 434 1.2× 121 0.6× 94 1.0× 55 0.7× 17 958
Anda Barkāne 547 1.2× 410 1.1× 289 1.4× 243 2.5× 83 1.1× 32 984
Valérie Gaucher 466 1.0× 431 1.2× 171 0.8× 68 0.7× 83 1.1× 39 920
Natalia Herrera 670 1.5× 220 0.6× 177 0.8× 88 0.9× 40 0.5× 21 814
A. A. Abdel Hakim 450 1.0× 314 0.9× 233 1.1× 88 0.9× 81 1.1× 8 846
Vibhore Kumar Rastogi 565 1.2× 155 0.4× 170 0.8× 70 0.7× 80 1.0× 36 851

Countries citing papers authored by Gerda Gaidukova

Since Specialization
Citations

This map shows the geographic impact of Gerda Gaidukova's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gerda Gaidukova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerda Gaidukova more than expected).

Fields of papers citing papers by Gerda Gaidukova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerda Gaidukova. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gerda Gaidukova. The network helps show where Gerda Gaidukova may publish in the future.

Co-authorship network of co-authors of Gerda Gaidukova

This figure shows the co-authorship network connecting the top 25 collaborators of Gerda Gaidukova. A scholar is included among the top collaborators of Gerda Gaidukova based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gerda Gaidukova. Gerda Gaidukova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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